Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Scientist - Data Intelligence Department, System Division, Rakuten Card Co., Ltd. (Secondment) role.

Rezi rewrites your resume against Rakuten's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Scientist - Data Intelligence Department, System Division, Rakuten Card Co., Ltd. (Secondment) posting at Rakuten — free, in seconds.

About the Role

Rakuten Card is seeking data engineers to support new improvements and projects aimed at unlocking the value of existing data as part of our efforts to achieve the "Triple 3" goals. Our team aims to leverage data for all Rakuten Card services by building data infrastructure, organizing data, providing data to business units, and promoting data utilization.

Responsibilities

Build data pipelines and data warehouses.
Provide integrated analytics environments, including BI tools.
Define data collection requirements in collaboration with business teams.
Create new revenue-generating services using data.

Requirements

Business-level communication skills in Japanese or English.
Knowledge of computer science or related fields.
Basic understanding of statistics.
Ability to work independently and collaborate with international colleagues.
Software development experience, particularly in Python and Java.
Experience implementing machine learning frameworks such as TensorFlow, scikit-learn, PyTorch, or Keras.
Basic knowledge and operational skills in Linux.
Knowledge of SQL and relational databases.
Knowledge of data science methods such as regression, decision trees, and clustering.
Experience in natural language processing using neural networks.
Experience managing and operating big data using tools like Spark, Parquet, Hive, Impala, or Kafka.
Experience designing, developing, and operating AI infrastructure using cloud or Kubernetes.
Experience analyzing data using data warehouses or BI systems.
Practical experience in developing and operating business systems involving large-scale data and transactions.

Skills

Python
Java
TensorFlow
scikit-learn
PyTorch
Keras
Linux
SQL
Relational Databases
Data Science Methods
Natural Language Processing
Spark
Parquet
Hive
Impala
Kafka
Cloud
Kubernetes
Data Warehouses
BI Systems

Location

Fukuoka Office

Work Type

Full-time

Experience Level

Mid-career hires: 60%
New graduates: 40%

Education Level

Knowledge of computer science or related fields

Benefits

Rakuten Group Employee Benefits

About the Company

Rakuten Card boasts over 30 million issued cards and has achieved the No.1 position in Japan for credit card shopping transaction volume (self-issued basis).
The company aims for "Triple 3" goals: 30 million issued credit cards, 30 trillion yen in shopping transaction volume, and a 30% market share in the credit card industry.
The system department handles all systems supporting Rakuten Card's service lineup, including responding to the rapidly increasing number of members and transaction volumes, as well as enhancing the functionality of Rakuten e-NAVI and the Rakuten Card app.
The scope of responsibility spans payment systems, debt management systems, Rakuten e-NAVI, the Rakuten Card app, and call center systems.
Working with Rakuten Card provides the opportunity to engage in cutting-edge technology from the upstream stages, offering engineers a highly stimulating experience.